Graph-native flow models (instruct to fine-tuned reasoning models)
AI & ML interests
PI: Markus J. Buehler, MIT. Our research focus on developing a new paradigm that designs materials from the molecular scale, using MD, ML and other methods.
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Papers
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models
104
lamm-mit/LlaDA-8B-EditFlow-graph-v520
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lamm-mit/LlaDA-8B-EditFlow-instruct-v500
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lamm-mit/LlaDA-8B-EditFlow-graph-v510
9B
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lamm-mit/LlaDA-8B-EditFlow-graph-v509
9B
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lamm-mit/Graph-Preflexor-8b_12292025
Text Generation
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8B
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Updated
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205
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1
lamm-mit/LLaDA-8B-Bioinspired-dLLM-Instruct-11-21-2025
Feature Extraction
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8B
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14
lamm-mit/ProteinGPT_medium
Text Generation
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0.3B
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2
lamm-mit/cephalo
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6
lamm-mit/Cephalo-Gemma-3-4b-it-04-15-2025
Any-to-Any
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5B
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Updated
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3
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1
lamm-mit/Cephalo-Gemma-3-4b-it-04-16-2025
Any-to-Any
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5B
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Updated
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2
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1
datasets
53
lamm-mit/graph-reasoning-messages-11K
Updated
lamm-mit/HyperGraphReasoning
Updated
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14
lamm-mit/scales-12tet-defects
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2.05k
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12
lamm-mit/graph_reasoning_v3_v4_large
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6
lamm-mit/PRESTO-protein-force
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16.8k
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19
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1
lamm-mit/bio-silk-mech-mix-q-a-35K-messages-only
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35.7k
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14
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1
lamm-mit/tersoff-3atom-toy
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5k
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8
lamm-mit/tersoff-3atom
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1
lamm-mit/bioinspired-sample
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100
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7
lamm-mit/leaf-microstructure
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5k
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682